MistralGeneralReleased 13 August 2025

Mistral Medium 3.1 pricing, context and benchmark

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost.

131K
Input context
105K
Output context
$0.4
Official input
$2
Official output
n/a
AA index

Everything that matters, in one table

Context, pricing, cache, modalities and tooling, from the model registry and Artificial Analysis.

ModelMistral Medium 3.1
Model IDmistralai/mistral-medium-3.1
ProviderMistral
Release date13 August 2025
StatusGenerally available
Input context131,072 tokens
Output context104,857 tokens
Official input pricing$0.4 per 1M tokens
Official output pricing$2 per 1M tokens
Cache read pricing$0.04 per 1M tokens
Market input pricing$0.4 per 1M (cheapest route)
Market output pricing$2 per 1M (cheapest route)
Input modalitiestext · image · file
Output modalitiestext
Reasoning controlNot exposed
Tool supportFunctions, tool choice, structured outputs
TokenizerMistral
Provider routes2 endpoints
Artificial Analysis indexNot published
SpeedNot published
Knowledge cutoffNot publicly stated

Input and output support

ModalityInputOutputBilled at
Text✓ yes✓ yes$0.4 in
Image✓ yesno$0.4 in
Audionononot supported
Videonononot supported
File (PDF)✓ yesno$0.4 in

What is Mistral Medium 3.1?

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost.

It balances...

Mistral Medium 3.1 carries a 131K token window, uses the Mistral tokenizer and is served by Mistral. On Hoodgen it sits in the General tier of the model menu next to its siblings, so you can switch mid conversation without losing the thread.

Release and what changed from the previous version

Released13 August 2025

This is the only release of Mistral Medium 3.1 on OpenRouter, released 13 August 2025. The provider has not published a knowledge cutoff, so treat training data as recent but unconfirmed for very new events.

Features and capabilities

⚙
Function calling
Tools, tool choice and parallel calls, which is what agent loops need to act on results.
{ }
Structured outputs
Schema constrained JSON with response_format, so no parse and retry loop in your code.
◉
Vision
Screenshots, charts and photographed documents are read at the text token rate.
▤
Files and PDFs
Documents go in as files rather than pasted text, keeping layout and tables intact.
⚡
Prompt caching
Cached input costs $0.04 per million instead of $0.4, so stable prefixes get cheaper.
⌁
Seeds
A seed can be pinned so the same prompt is reproducible across test runs.

What can you do with Mistral Medium 3.1?

Everyday writing
Drafts, rewrites, summaries and replies.
Research
Source material condensed with the key numbers kept.
Chat
General questions where latency and cost both matter.
Tooling inside Hoodgen
Writer, Humanizer, Coding and the rest of the tool suite.

Prompt caching and how to cut the bill

Cached input bills at $0.04 per million instead of $0.4. Keep the system prompt and documents first and the changing question last, so every call hits the cache.

Mistral Medium 3.1 pricing

Official pricing

List price
$0.4 / 1M in
$2 / 1M out
  • $0.04 cached input
  • 131K context
  • text, image, file input
Cheapest route
$0.4 / 1M in
$2 / 1M out
  • 2 routes on OpenRouter
  • What Hoodgen routes to first
  • Same model, lower bill

Market pricing, every route

ProviderTierInputOutputCache readUptime 24h
Mistralstandard$0.4$2$0.04100.0%
Mistralstandard$0.44$2.2$0.044n/a

API pricing and cost calculator

RatePer callTotalCredits
Cheapest route$0.0067$3.343174
List price$0.0067$3.343174

API and developer information

Model IDmistralai/mistral-medium-3.1
Endpointhttps://openrouter.ai/api/v1/chat/completions
Parametersfrequency_penalty · max_tokens · presence_penalty · response_format · seed · stop · structured_outputs · temperature · tool_choice · tools · top_p
StreamingYes, server sent events
Modality stringtext+image+file->text
Max prompt tokens131,072
Max completion tokens104,857
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/mistral-medium-3.1",
    "messages": [{ "role": "user", "content": "Summarise this document." }],
    "max_tokens": 1024
  }'

Model limitations

Text only outputIt cannot generate images, audio or video. Pair it with an image model on Hoodgen when you need visuals.
Output cap104,857 tokens per request. Long deliverables have to be chunked.
Benchmarks not publishedArtificial Analysis does not publish an Intelligence Index for this release, so no benchmark score is claimed here.
Knowledge cutoffThe provider does not state a fixed cutoff for every release. Verify very recent events against search.

Mistral Medium 3.1 vs other Mistral models

ModelContextInput /1MOutput /1MAA indexReleased
Mistral Medium 3.1131K$0.4$2n/a2025
Mistral Large 3 2512262K$0.5$1.5n/a2025
Devstral 2 2512262K$0.4$2n/a2025
Ministral 3 8B 2512262K$0.15$0.15n/a2025

Privacy and data policy

  • On Hoodgen, prompts and attachments answer that request and stay in your conversation history so you can reopen it. They are not used to train models.
  • Requests route through OpenRouter to Mistral and are covered by that provider's API terms.
  • Do not paste secrets or personal data you would not send to any hosted model.

Mistral Medium 3.1 questions, answered

Mistral Medium 3.1 is a general model from Mistral, released 13 August 2025. Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost.
✦

Start chatting with Mistral Medium 3.1

Free to try on Hoodgen AI, with a live credit estimate before every send. No API key, no setup.